Data Engineer (Senior) - ETL (Python+Snowflake) - Remote, Latin América
Tasks
- Build reusable ingestion frameworks
- Collaborate on logical and physical data models
- Design ETL/ELT pipelines
- Develop data ingestion transformations loading
- Enforce data governance and security standards
- Implement Snowflake databases schemas tables views streams tasks stages
- Implement data quality validation monitoring
- Implement dimensional modeling star schema fact dimension tables
- Ingest structured and semi structured data from REST APIs relational databases flat files cloud storage
- Maintain pipeline transformation and data model documentation
- Manage CI CD pipelines and source code with Git and Azure DevOps
- Monitor pipelines diagnose performance issues resolve incidents
- Optimize Snowflake workloads and SQL performance
- Provide production support for data engineering workflows
- Support Snowflake integration with Azure services
Perks/Benefits
- Company sponsored exams
- Company-sponsored certifications
- Company-sponsored coursework
- Conferences
- Continuing education
- Flexible working hours
- Paid time off
- Remote work
- Training
Skills/Tech-stack
Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Key Vault | CI/CD | Data Factory | Data Governance | Data Lake Storage | Data Modeling | Data Quality | Data Security | Data Sharing | Dimension tables | Dimensional Modeling | Fact tables | Git | Infrastructure as Code | Key Vault | Power BI | PySpark | Python | REST APIs | SQL | STAGES | Secure Data Sharing | Snowflake | Snowflake Secure Data Sharing | Snowpipe | Star Schema | Streams | Tableau | Tasks | Terraform | Time Travel | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Engineering | Bachelor of Science in Information Technology
Roles
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